The cephalopod fishery GIS for the Northeast Atlantic: development and application

Graham John Pierce, Jianjun Wang, Xiaohong Zheng, Jose M Bellido-Millan, Peter Robin Boyle, Jean-Paul Robin, V. Denis

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Cephalopod stocks are of increasing economic importance. Cephalopod fisheries show marked inter-annual fluctuations unrelated to fishery landings and effort. Their population dynamics, particularly recruitment, are thought to be strongly susceptible to changes in environmental conditions. This arises in part from the short life cycle, resulting in poor buffering of the population against changing conditions. These characteristics make traditional approaches to stock assessment and fishery management inappropriate. GIS offers a tool to improve understanding of spatio-temporal trends in abundance and facilitate rational management. A cephalopod fishery geographical information system for Northeast Atlantic waters (CFGIS-NEA) was developed. The system covers the area from 28.0 degrees W to 11.0 degrees E, and 34.5 degrees N to 65.5 degrees N. It was designed for investigating cephalopod resource dynamics in relation to environmental variation. It is based on Unix Arc/Info, and PC ArcView, combined with the statistical software package S-PLUS and supported by a database in Microsoft Access. Environmental data (e.g. sea surface temperature and salinity, sea bottom temperature and salinity, and bathymetric data), cephalopod fishery, survey and biological data, from a variety of sources, were integrated in the GIS as coverages, grids, shapefiles, and tables. Special functions were developed for data integration, data conversion, query, visualisation, analysis and management. User-friendly interfaces were developed allowing relatively inexperienced users to operate the system. The spatial and temporal distribution patterns of cephalopod abundance by species, the spatial and temporal relationships between cephalopod abundance and environmental factors, and the spatial and temporal patterns of cephalopod fishing activity were analysed using a combination of visual (qualitative) and quantitative methods. Predictive empirical models, such as GAMs (generalized additive models), were developed for modelling cephalopod abundance using environmental variables.

Original languageEnglish
Pages (from-to)763-784
Number of pages21
JournalInternational Journal of Geographical Information Science
Volume15
DOIs
Publication statusPublished - 2001

Keywords

  • GENERALIZED ADDITIVE-MODELS
  • EGG-PRODUCTION METHOD
  • LOLIGO-FORBESI
  • TEMPERATURE
  • POPULATION
  • ABUNDANCE
  • BIOLOGY
  • WATERS
  • SQUID

Cite this

Pierce, G. J., Wang, J., Zheng, X., Bellido-Millan, J. M., Boyle, P. R., Robin, J-P., & Denis, V. (2001). The cephalopod fishery GIS for the Northeast Atlantic: development and application. International Journal of Geographical Information Science, 15, 763-784. https://doi.org/10.1080/13658810110074500

The cephalopod fishery GIS for the Northeast Atlantic: development and application. / Pierce, Graham John; Wang, Jianjun; Zheng, Xiaohong; Bellido-Millan, Jose M; Boyle, Peter Robin; Robin, Jean-Paul; Denis, V.

In: International Journal of Geographical Information Science, Vol. 15, 2001, p. 763-784.

Research output: Contribution to journalArticle

Pierce, Graham John ; Wang, Jianjun ; Zheng, Xiaohong ; Bellido-Millan, Jose M ; Boyle, Peter Robin ; Robin, Jean-Paul ; Denis, V. / The cephalopod fishery GIS for the Northeast Atlantic: development and application. In: International Journal of Geographical Information Science. 2001 ; Vol. 15. pp. 763-784.
@article{f22437ce85b6436f8c56a34eb5ab95be,
title = "The cephalopod fishery GIS for the Northeast Atlantic: development and application",
abstract = "Cephalopod stocks are of increasing economic importance. Cephalopod fisheries show marked inter-annual fluctuations unrelated to fishery landings and effort. Their population dynamics, particularly recruitment, are thought to be strongly susceptible to changes in environmental conditions. This arises in part from the short life cycle, resulting in poor buffering of the population against changing conditions. These characteristics make traditional approaches to stock assessment and fishery management inappropriate. GIS offers a tool to improve understanding of spatio-temporal trends in abundance and facilitate rational management. A cephalopod fishery geographical information system for Northeast Atlantic waters (CFGIS-NEA) was developed. The system covers the area from 28.0 degrees W to 11.0 degrees E, and 34.5 degrees N to 65.5 degrees N. It was designed for investigating cephalopod resource dynamics in relation to environmental variation. It is based on Unix Arc/Info, and PC ArcView, combined with the statistical software package S-PLUS and supported by a database in Microsoft Access. Environmental data (e.g. sea surface temperature and salinity, sea bottom temperature and salinity, and bathymetric data), cephalopod fishery, survey and biological data, from a variety of sources, were integrated in the GIS as coverages, grids, shapefiles, and tables. Special functions were developed for data integration, data conversion, query, visualisation, analysis and management. User-friendly interfaces were developed allowing relatively inexperienced users to operate the system. The spatial and temporal distribution patterns of cephalopod abundance by species, the spatial and temporal relationships between cephalopod abundance and environmental factors, and the spatial and temporal patterns of cephalopod fishing activity were analysed using a combination of visual (qualitative) and quantitative methods. Predictive empirical models, such as GAMs (generalized additive models), were developed for modelling cephalopod abundance using environmental variables.",
keywords = "GENERALIZED ADDITIVE-MODELS, EGG-PRODUCTION METHOD, LOLIGO-FORBESI, TEMPERATURE, POPULATION, ABUNDANCE, BIOLOGY, WATERS, SQUID",
author = "Pierce, {Graham John} and Jianjun Wang and Xiaohong Zheng and Bellido-Millan, {Jose M} and Boyle, {Peter Robin} and Jean-Paul Robin and V. Denis",
year = "2001",
doi = "10.1080/13658810110074500",
language = "English",
volume = "15",
pages = "763--784",
journal = "International Journal of Geographical Information Science",
issn = "1365-8816",
publisher = "Taylor and Francis Ltd.",

}

TY - JOUR

T1 - The cephalopod fishery GIS for the Northeast Atlantic: development and application

AU - Pierce, Graham John

AU - Wang, Jianjun

AU - Zheng, Xiaohong

AU - Bellido-Millan, Jose M

AU - Boyle, Peter Robin

AU - Robin, Jean-Paul

AU - Denis, V.

PY - 2001

Y1 - 2001

N2 - Cephalopod stocks are of increasing economic importance. Cephalopod fisheries show marked inter-annual fluctuations unrelated to fishery landings and effort. Their population dynamics, particularly recruitment, are thought to be strongly susceptible to changes in environmental conditions. This arises in part from the short life cycle, resulting in poor buffering of the population against changing conditions. These characteristics make traditional approaches to stock assessment and fishery management inappropriate. GIS offers a tool to improve understanding of spatio-temporal trends in abundance and facilitate rational management. A cephalopod fishery geographical information system for Northeast Atlantic waters (CFGIS-NEA) was developed. The system covers the area from 28.0 degrees W to 11.0 degrees E, and 34.5 degrees N to 65.5 degrees N. It was designed for investigating cephalopod resource dynamics in relation to environmental variation. It is based on Unix Arc/Info, and PC ArcView, combined with the statistical software package S-PLUS and supported by a database in Microsoft Access. Environmental data (e.g. sea surface temperature and salinity, sea bottom temperature and salinity, and bathymetric data), cephalopod fishery, survey and biological data, from a variety of sources, were integrated in the GIS as coverages, grids, shapefiles, and tables. Special functions were developed for data integration, data conversion, query, visualisation, analysis and management. User-friendly interfaces were developed allowing relatively inexperienced users to operate the system. The spatial and temporal distribution patterns of cephalopod abundance by species, the spatial and temporal relationships between cephalopod abundance and environmental factors, and the spatial and temporal patterns of cephalopod fishing activity were analysed using a combination of visual (qualitative) and quantitative methods. Predictive empirical models, such as GAMs (generalized additive models), were developed for modelling cephalopod abundance using environmental variables.

AB - Cephalopod stocks are of increasing economic importance. Cephalopod fisheries show marked inter-annual fluctuations unrelated to fishery landings and effort. Their population dynamics, particularly recruitment, are thought to be strongly susceptible to changes in environmental conditions. This arises in part from the short life cycle, resulting in poor buffering of the population against changing conditions. These characteristics make traditional approaches to stock assessment and fishery management inappropriate. GIS offers a tool to improve understanding of spatio-temporal trends in abundance and facilitate rational management. A cephalopod fishery geographical information system for Northeast Atlantic waters (CFGIS-NEA) was developed. The system covers the area from 28.0 degrees W to 11.0 degrees E, and 34.5 degrees N to 65.5 degrees N. It was designed for investigating cephalopod resource dynamics in relation to environmental variation. It is based on Unix Arc/Info, and PC ArcView, combined with the statistical software package S-PLUS and supported by a database in Microsoft Access. Environmental data (e.g. sea surface temperature and salinity, sea bottom temperature and salinity, and bathymetric data), cephalopod fishery, survey and biological data, from a variety of sources, were integrated in the GIS as coverages, grids, shapefiles, and tables. Special functions were developed for data integration, data conversion, query, visualisation, analysis and management. User-friendly interfaces were developed allowing relatively inexperienced users to operate the system. The spatial and temporal distribution patterns of cephalopod abundance by species, the spatial and temporal relationships between cephalopod abundance and environmental factors, and the spatial and temporal patterns of cephalopod fishing activity were analysed using a combination of visual (qualitative) and quantitative methods. Predictive empirical models, such as GAMs (generalized additive models), were developed for modelling cephalopod abundance using environmental variables.

KW - GENERALIZED ADDITIVE-MODELS

KW - EGG-PRODUCTION METHOD

KW - LOLIGO-FORBESI

KW - TEMPERATURE

KW - POPULATION

KW - ABUNDANCE

KW - BIOLOGY

KW - WATERS

KW - SQUID

U2 - 10.1080/13658810110074500

DO - 10.1080/13658810110074500

M3 - Article

VL - 15

SP - 763

EP - 784

JO - International Journal of Geographical Information Science

JF - International Journal of Geographical Information Science

SN - 1365-8816

ER -